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1.10. Decision Trees — scikit-learn 1.5.0 docum...
g., in an artificial neural network),...in the impurity criterion, e.g. log loss (which is equivalent...scikit-learn.org/stable/modules/tree.html -
BaggingRegressor — scikit-learn 1.5.0 documenta...
g., a decision tree), by introducing...Intelligence, 20(8), 832-844, 1998. [ 4 ] G. Louppe and P. Geurts, “Ensembles...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
Older Versions — scikit-learn 1.5.0 documentation
learn \b /sklearn/g' Estimators no longer accept model...restricted to data-dependent values (e.g. a Gram matrix or an affinity...scikit-learn.org/stable/whats_new/older_versions.html -
PCA — scikit-learn 1.5.0 documentation
g. on input data with a large range...see: Halko, N., Martinsson, P. G., and Tropp, J. A. (2011). “Finding...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
2.9. Neural network models (unsupervised) — sci...
scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
1.12. Multiclass and multioutput algorithms — s...
scikit-learn.org/stable/modules/multiclass.html -
BernoulliRBM — scikit-learn 1.5.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html -
3.4. Metrics and scoring: quantifying the quali...
g. metrics.log_loss ) then one needs...non-thresholded decision values (e.g. metrics.roc_auc_score ). In this...scikit-learn.org/stable/modules/model_evaluation.html -
FastICA — scikit-learn 1.5.0 documentation
default=’logcosh’ The functional form of the G function used in the approximation...last dimension. Example: def my_g ( x ): return x ** 3 , ( 3 * x...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html -
MetaFilter | Community Weblog
G. Ballard [ archive ] which was...www.metafilter.com/